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  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# Exploring  SHAP-IQ visualizations\n",
        "In this tutorial, we’ll explore a range of SHAP-IQ visualizations that provide insights into how a machine learning model arrives at its predictions. These visuals help break down complex model behavior into interpretable components—revealing both the individual and interactive contributions of features to a specific prediction.\n",
        "\n"
      ],
      "metadata": {
        "id": "kajWN6Lyu9mQ"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Installing the dependencies"
      ],
      "metadata": {
        "id": "8GUDko7fvZql"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install shapiq overrides scikit-learn pandas numpy seaborn"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "collapsed": true,
        "id": "Nn3j0Cq-efQa",
        "outputId": "00721410-7000-4e2f-e2c6-7ed6c7259617"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting shapiq\n",
            "  Downloading shapiq-1.3.1-py3-none-any.whl.metadata (30 kB)\n",
            "Collecting overrides\n",
            "  Downloading overrides-7.7.0-py3-none-any.whl.metadata (5.8 kB)\n",
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            "Collecting sparse-transform (from shapiq)\n",
            "  Downloading sparse_transform-0.2.1-py3-none-any.whl.metadata (759 bytes)\n",
            "Collecting galois (from shapiq)\n",
            "  Downloading galois-0.4.6-py3-none-any.whl.metadata (14 kB)\n",
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            "Requirement already satisfied: threadpoolctl>=3.1.0 in /usr/local/lib/python3.11/dist-packages (from scikit-learn->shapiq) (3.6.0)\n",
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            "Downloading shapiq-1.3.1-py3-none-any.whl (284 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m284.3/284.3 kB\u001b[0m \u001b[31m8.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading overrides-7.7.0-py3-none-any.whl (17 kB)\n",
            "Downloading galois-0.4.6-py3-none-any.whl (4.2 MB)\n",
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            "\u001b[?25hDownloading sparse_transform-0.2.1-py3-none-any.whl (27 kB)\n",
            "Installing collected packages: overrides, galois, sparse-transform, shapiq\n",
            "Successfully installed galois-0.4.6 overrides-7.7.0 shapiq-1.3.1 sparse-transform-0.2.1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.ensemble import RandomForestRegressor\n",
        "from sklearn.metrics import mean_squared_error, r2_score\n",
        "from sklearn.model_selection import train_test_split\n",
        "from tqdm.asyncio import tqdm\n",
        "\n",
        "import shapiq\n",
        "\n",
        "print(f\"shapiq version: {shapiq.__version__}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SAcNsZZTemYe",
        "outputId": "52c012db-1897-48c4-ee59-484134de3c54"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "shapiq version: 1.3.1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Importing the dataset\n",
        "In this tutorial, we’ll use the MPG (Miles Per Gallon) dataset, which we’ll load directly from the Seaborn library. This dataset contains information about various car models, including features like horsepower, weight, and origin."
      ],
      "metadata": {
        "id": "S_j7__F7vd2J"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "W5KUe5wRVFiQ",
        "outputId": "6b0a363d-0dda-419b-fdfb-79ca85481d61"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      mpg  cylinders  displacement  horsepower  weight  acceleration  \\\n",
              "0    18.0          8         307.0       130.0    3504          12.0   \n",
              "1    15.0          8         350.0       165.0    3693          11.5   \n",
              "2    18.0          8         318.0       150.0    3436          11.0   \n",
              "3    16.0          8         304.0       150.0    3433          12.0   \n",
              "4    17.0          8         302.0       140.0    3449          10.5   \n",
              "..    ...        ...           ...         ...     ...           ...   \n",
              "393  27.0          4         140.0        86.0    2790          15.6   \n",
              "394  44.0          4          97.0        52.0    2130          24.6   \n",
              "395  32.0          4         135.0        84.0    2295          11.6   \n",
              "396  28.0          4         120.0        79.0    2625          18.6   \n",
              "397  31.0          4         119.0        82.0    2720          19.4   \n",
              "\n",
              "     model_year  origin                       name  \n",
              "0            70     usa  chevrolet chevelle malibu  \n",
              "1            70     usa          buick skylark 320  \n",
              "2            70     usa         plymouth satellite  \n",
              "3            70     usa              amc rebel sst  \n",
              "4            70     usa                ford torino  \n",
              "..          ...     ...                        ...  \n",
              "393          82     usa            ford mustang gl  \n",
              "394          82  europe                  vw pickup  \n",
              "395          82     usa              dodge rampage  \n",
              "396          82     usa                ford ranger  \n",
              "397          82     usa                 chevy s-10  \n",
              "\n",
              "[398 rows x 9 columns]"
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              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
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              "\n",
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              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
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              "  }\n",
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              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
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              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
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              "\n",
              "      <script>\n",
              "        async function quickchart(key) {\n",
              "          const quickchartButtonEl =\n",
              "            document.querySelector('#' + key + ' button');\n",
              "          quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "          quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "          try {\n",
              "            const charts = await google.colab.kernel.invokeFunction(\n",
              "                'suggestCharts', [key], {});\n",
              "          } catch (error) {\n",
              "            console.error('Error during call to suggestCharts:', error);\n",
              "          }\n",
              "          quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "          quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "        }\n",
              "        (() => {\n",
              "          let quickchartButtonEl =\n",
              "            document.querySelector('#df-eaaea8c2-5c48-44b2-8ee8-46f933c3626a button');\n",
              "          quickchartButtonEl.style.display =\n",
              "            google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "        })();\n",
              "      </script>\n",
              "    </div>\n",
              "\n",
              "  <div id=\"id_c1093641-257d-4f18-8416-aed46a02230f\">\n",
              "    <style>\n",
              "      .colab-df-generate {\n",
              "        background-color: #E8F0FE;\n",
              "        border: none;\n",
              "        border-radius: 50%;\n",
              "        cursor: pointer;\n",
              "        display: none;\n",
              "        fill: #1967D2;\n",
              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
              "        background-color: #E2EBFA;\n",
              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "        fill: #174EA6;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate:hover {\n",
              "        background-color: #434B5C;\n",
              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "        fill: #FFFFFF;\n",
              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
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              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_c1093641-257d-4f18-8416-aed46a02230f button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('df');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 398,\n  \"fields\": [\n    {\n      \"column\": \"mpg\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 7.815984312565782,\n        \"min\": 9.0,\n        \"max\": 46.6,\n        \"num_unique_values\": 129,\n        \"samples\": [\n          17.7,\n          30.5,\n          30.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"cylinders\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 3,\n        \"max\": 8,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          4,\n          5,\n          6\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"displacement\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 104.26983817119581,\n        \"min\": 68.0,\n        \"max\": 455.0,\n        \"num_unique_values\": 82,\n        \"samples\": [\n          122.0,\n          307.0,\n          360.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"horsepower\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 38.49115993282855,\n        \"min\": 46.0,\n        \"max\": 230.0,\n        \"num_unique_values\": 93,\n        \"samples\": [\n          92.0,\n          100.0,\n          52.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"weight\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 846,\n        \"min\": 1613,\n        \"max\": 5140,\n        \"num_unique_values\": 351,\n        \"samples\": [\n          3730,\n          1995,\n          2215\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"acceleration\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.7576889298126757,\n        \"min\": 8.0,\n        \"max\": 24.8,\n        \"num_unique_values\": 95,\n        \"samples\": [\n          14.7,\n          18.0,\n          14.3\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"model_year\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3,\n        \"min\": 70,\n        \"max\": 82,\n        \"num_unique_values\": 13,\n        \"samples\": [\n          81,\n          79,\n          70\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"origin\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"usa\",\n          \"japan\",\n          \"europe\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"name\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 305,\n        \"samples\": [\n          \"mazda rx-4\",\n          \"ford f108\",\n          \"buick century luxus (sw)\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 9
        }
      ],
      "source": [
        "import seaborn as sns\n",
        "df = sns.load_dataset(\"mpg\")\n",
        "df"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Processing the dataset\n",
        "We use Label Encoding to convert the categorical column(s) into numeric format, making them suitable for model training.\n",
        "\n"
      ],
      "metadata": {
        "id": "euOLnRPJvxHK"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "from sklearn.preprocessing import LabelEncoder\n",
        "\n",
        "# Drop rows with missing values\n",
        "df = df.dropna()\n",
        "\n",
        "# Encoding the origin column\n",
        "le = LabelEncoder()\n",
        "df.loc[:, \"origin\"] = le.fit_transform(df[\"origin\"])\n",
        "df['origin'].unique()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sPaiPnLGfC99",
        "outputId": "a360f6c2-9a9c-4aaa-95f1-bd1774ed872f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([2, 1, 0], dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "for i, label in enumerate(le.classes_):\n",
        "    print(f\"{label} → {i}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5DT29QG9gX5t",
        "outputId": "430038c7-0d62-477b-c6b9-249531b3a2a5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "europe → 0\n",
            "japan → 1\n",
            "usa → 2\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Splitting the data into training & test subsets"
      ],
      "metadata": {
        "id": "tyyyx6Ylv7Da"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Select features and target\n",
        "X = df.drop(columns=[\"mpg\", \"name\"])\n",
        "y = df[\"mpg\"]\n",
        "\n",
        "feature_names = X.columns.tolist()\n",
        "x_data, y_data = X.values, y.values\n",
        "\n",
        "# Train-test split\n",
        "x_train, x_test, y_train, y_test = train_test_split(x_data, y_data, test_size=0.2, random_state=42)"
      ],
      "metadata": {
        "id": "IgJ-XjCnAJKx"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Model Training\n",
        "We train a Random Forest Regressor with a maximum depth of 10 and 10 decision trees (n_estimators=10). A fixed random_state ensures reproducibility."
      ],
      "metadata": {
        "id": "to29jveHwAUs"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Train model\n",
        "model = RandomForestRegressor(random_state=42, max_depth=10, n_estimators=10)\n",
        "model.fit(x_train, y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 80
        },
        "id": "hFQEW7_zAVzt",
        "outputId": "46ed6918-6c7f-4fe8-f839-ef6f913a8846"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "RandomForestRegressor(max_depth=10, n_estimators=10, random_state=42)"
            ],
            "text/html": [
              "<style>#sk-container-id-1 {\n",
              "  /* Definition of color scheme common for light and dark mode */\n",
              "  --sklearn-color-text: #000;\n",
              "  --sklearn-color-text-muted: #666;\n",
              "  --sklearn-color-line: gray;\n",
              "  /* Definition of color scheme for unfitted estimators */\n",
              "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
              "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
              "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
              "  --sklearn-color-unfitted-level-3: chocolate;\n",
              "  /* Definition of color scheme for fitted estimators */\n",
              "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
              "  --sklearn-color-fitted-level-1: #d4ebff;\n",
              "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
              "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
              "\n",
              "  /* Specific color for light theme */\n",
              "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
              "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
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              "    /* Redefinition of color scheme for dark theme */\n",
              "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
              "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
              "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
              "    --sklearn-color-icon: #878787;\n",
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              "\n",
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              "  color: var(--sklearn-color-text);\n",
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              "\n",
              "#sk-container-id-1 pre {\n",
              "  padding: 0;\n",
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              "#sk-container-id-1 input.sk-hidden--visually {\n",
              "  border: 0;\n",
              "  clip: rect(1px 1px 1px 1px);\n",
              "  clip: rect(1px, 1px, 1px, 1px);\n",
              "  height: 1px;\n",
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              "  overflow: hidden;\n",
              "  padding: 0;\n",
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              "\n",
              "#sk-container-id-1 div.sk-dashed-wrapped {\n",
              "  border: 1px dashed var(--sklearn-color-line);\n",
              "  margin: 0 0.4em 0.5em 0.4em;\n",
              "  box-sizing: border-box;\n",
              "  padding-bottom: 0.4em;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-container {\n",
              "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
              "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
              "     so we also need the `!important` here to be able to override the\n",
              "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
              "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
              "  display: inline-block !important;\n",
              "  position: relative;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-text-repr-fallback {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              "div.sk-parallel-item,\n",
              "div.sk-serial,\n",
              "div.sk-item {\n",
              "  /* draw centered vertical line to link estimators */\n",
              "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
              "  background-size: 2px 100%;\n",
              "  background-repeat: no-repeat;\n",
              "  background-position: center center;\n",
              "}\n",
              "\n",
              "/* Parallel-specific style estimator block */\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item::after {\n",
              "  content: \"\";\n",
              "  width: 100%;\n",
              "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
              "  flex-grow: 1;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel {\n",
              "  display: flex;\n",
              "  align-items: stretch;\n",
              "  justify-content: center;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  position: relative;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item {\n",
              "  display: flex;\n",
              "  flex-direction: column;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
              "  align-self: flex-end;\n",
              "  width: 50%;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
              "  align-self: flex-start;\n",
              "  width: 50%;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
              "  width: 0;\n",
              "}\n",
              "\n",
              "/* Serial-specific style estimator block */\n",
              "\n",
              "#sk-container-id-1 div.sk-serial {\n",
              "  display: flex;\n",
              "  flex-direction: column;\n",
              "  align-items: center;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  padding-right: 1em;\n",
              "  padding-left: 1em;\n",
              "}\n",
              "\n",
              "\n",
              "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
              "clickable and can be expanded/collapsed.\n",
              "- Pipeline and ColumnTransformer use this feature and define the default style\n",
              "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
              "*/\n",
              "\n",
              "/* Pipeline and ColumnTransformer style (default) */\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable {\n",
              "  /* Default theme specific background. It is overwritten whether we have a\n",
              "  specific estimator or a Pipeline/ColumnTransformer */\n",
              "  background-color: var(--sklearn-color-background);\n",
              "}\n",
              "\n",
              "/* Toggleable label */\n",
              "#sk-container-id-1 label.sk-toggleable__label {\n",
              "  cursor: pointer;\n",
              "  display: flex;\n",
              "  width: 100%;\n",
              "  margin-bottom: 0;\n",
              "  padding: 0.5em;\n",
              "  box-sizing: border-box;\n",
              "  text-align: center;\n",
              "  align-items: start;\n",
              "  justify-content: space-between;\n",
              "  gap: 0.5em;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 label.sk-toggleable__label .caption {\n",
              "  font-size: 0.6rem;\n",
              "  font-weight: lighter;\n",
              "  color: var(--sklearn-color-text-muted);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
              "  /* Arrow on the left of the label */\n",
              "  content: \"▸\";\n",
              "  float: left;\n",
              "  margin-right: 0.25em;\n",
              "  color: var(--sklearn-color-icon);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
              "  color: var(--sklearn-color-text);\n",
              "}\n",
              "\n",
              "/* Toggleable content - dropdown */\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable__content {\n",
              "  max-height: 0;\n",
              "  max-width: 0;\n",
              "  overflow: hidden;\n",
              "  text-align: left;\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable__content pre {\n",
              "  margin: 0.2em;\n",
              "  border-radius: 0.25em;\n",
              "  color: var(--sklearn-color-text);\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
              "  /* Expand drop-down */\n",
              "  max-height: 200px;\n",
              "  max-width: 100%;\n",
              "  overflow: auto;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
              "  content: \"▾\";\n",
              "}\n",
              "\n",
              "/* Pipeline/ColumnTransformer-specific style */\n",
              "\n",
              "#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  color: var(--sklearn-color-text);\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "/* Estimator-specific style */\n",
              "\n",
              "/* Colorize estimator box */\n",
              "#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
              "#sk-container-id-1 div.sk-label label {\n",
              "  /* The background is the default theme color */\n",
              "  color: var(--sklearn-color-text-on-default-background);\n",
              "}\n",
              "\n",
              "/* On hover, darken the color of the background */\n",
              "#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
              "  color: var(--sklearn-color-text);\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "/* Label box, darken color on hover, fitted */\n",
              "#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
              "  color: var(--sklearn-color-text);\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "/* Estimator label */\n",
              "\n",
              "#sk-container-id-1 div.sk-label label {\n",
              "  font-family: monospace;\n",
              "  font-weight: bold;\n",
              "  display: inline-block;\n",
              "  line-height: 1.2em;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-label-container {\n",
              "  text-align: center;\n",
              "}\n",
              "\n",
              "/* Estimator-specific */\n",
              "#sk-container-id-1 div.sk-estimator {\n",
              "  font-family: monospace;\n",
              "  border: 1px dotted var(--sklearn-color-border-box);\n",
              "  border-radius: 0.25em;\n",
              "  box-sizing: border-box;\n",
              "  margin-bottom: 0.5em;\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-estimator.fitted {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-0);\n",
              "}\n",
              "\n",
              "/* on hover */\n",
              "#sk-container-id-1 div.sk-estimator:hover {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
              "\n",
              "/* Common style for \"i\" and \"?\" */\n",
              "\n",
              ".sk-estimator-doc-link,\n",
              "a:link.sk-estimator-doc-link,\n",
              "a:visited.sk-estimator-doc-link {\n",
              "  float: right;\n",
              "  font-size: smaller;\n",
              "  line-height: 1em;\n",
              "  font-family: monospace;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  border-radius: 1em;\n",
              "  height: 1em;\n",
              "  width: 1em;\n",
              "  text-decoration: none !important;\n",
              "  margin-left: 0.5em;\n",
              "  text-align: center;\n",
              "  /* unfitted */\n",
              "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
              "  color: var(--sklearn-color-unfitted-level-1);\n",
              "}\n",
              "\n",
              ".sk-estimator-doc-link.fitted,\n",
              "a:link.sk-estimator-doc-link.fitted,\n",
              "a:visited.sk-estimator-doc-link.fitted {\n",
              "  /* fitted */\n",
              "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
              "  color: var(--sklearn-color-fitted-level-1);\n",
              "}\n",
              "\n",
              "/* On hover */\n",
              "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
              ".sk-estimator-doc-link:hover,\n",
              "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
              ".sk-estimator-doc-link:hover {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-3);\n",
              "  color: var(--sklearn-color-background);\n",
              "  text-decoration: none;\n",
              "}\n",
              "\n",
              "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
              ".sk-estimator-doc-link.fitted:hover,\n",
              "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
              ".sk-estimator-doc-link.fitted:hover {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-3);\n",
              "  color: var(--sklearn-color-background);\n",
              "  text-decoration: none;\n",
              "}\n",
              "\n",
              "/* Span, style for the box shown on hovering the info icon */\n",
              ".sk-estimator-doc-link span {\n",
              "  display: none;\n",
              "  z-index: 9999;\n",
              "  position: relative;\n",
              "  font-weight: normal;\n",
              "  right: .2ex;\n",
              "  padding: .5ex;\n",
              "  margin: .5ex;\n",
              "  width: min-content;\n",
              "  min-width: 20ex;\n",
              "  max-width: 50ex;\n",
              "  color: var(--sklearn-color-text);\n",
              "  box-shadow: 2pt 2pt 4pt #999;\n",
              "  /* unfitted */\n",
              "  background: var(--sklearn-color-unfitted-level-0);\n",
              "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
              "}\n",
              "\n",
              ".sk-estimator-doc-link.fitted span {\n",
              "  /* fitted */\n",
              "  background: var(--sklearn-color-fitted-level-0);\n",
              "  border: var(--sklearn-color-fitted-level-3);\n",
              "}\n",
              "\n",
              ".sk-estimator-doc-link:hover span {\n",
              "  display: block;\n",
              "}\n",
              "\n",
              "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
              "\n",
              "#sk-container-id-1 a.estimator_doc_link {\n",
              "  float: right;\n",
              "  font-size: 1rem;\n",
              "  line-height: 1em;\n",
              "  font-family: monospace;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  border-radius: 1rem;\n",
              "  height: 1rem;\n",
              "  width: 1rem;\n",
              "  text-decoration: none;\n",
              "  /* unfitted */\n",
              "  color: var(--sklearn-color-unfitted-level-1);\n",
              "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 a.estimator_doc_link.fitted {\n",
              "  /* fitted */\n",
              "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
              "  color: var(--sklearn-color-fitted-level-1);\n",
              "}\n",
              "\n",
              "/* On hover */\n",
              "#sk-container-id-1 a.estimator_doc_link:hover {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-3);\n",
              "  color: var(--sklearn-color-background);\n",
              "  text-decoration: none;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-3);\n",
              "}\n",
              "</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestRegressor(max_depth=10, n_estimators=10, random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>RandomForestRegressor</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.6/modules/generated/sklearn.ensemble.RandomForestRegressor.html\">?<span>Documentation for RandomForestRegressor</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></div></label><div class=\"sk-toggleable__content fitted\"><pre>RandomForestRegressor(max_depth=10, n_estimators=10, random_state=42)</pre></div> </div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Model Evaluation"
      ],
      "metadata": {
        "id": "FSYft7MXwGA1"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Evaluate\n",
        "mse = mean_squared_error(y_test, model.predict(x_test))\n",
        "r2 = r2_score(y_test, model.predict(x_test))\n",
        "print(f\"Mean Squared Error: {mse:.2f}\")\n",
        "print(f\"R2 Score: {r2:.2f}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "F9f5qnzjAfD9",
        "outputId": "30a2214b-fcd3-4fdd-fe26-1b71fdeb4e2a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mean Squared Error: 7.71\n",
            "R2 Score: 0.85\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Explaining a Local Instance\n",
        "We choose a specific test instance (with instance_id = 7) to explore how the model arrived at its prediction. We'll print the true value, predicted value, and the feature values for this instance."
      ],
      "metadata": {
        "id": "RhGUwtEcwLzq"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# select a local instance to be explained\n",
        "instance_id = 7\n",
        "x_explain = x_test[instance_id]\n",
        "y_true = y_test[instance_id]\n",
        "y_pred = model.predict(x_explain.reshape(1, -1))[0]\n",
        "print(f\"Instance {instance_id}, True Value: {y_true}, Predicted Value: {y_pred}\")\n",
        "for i, feature in enumerate(feature_names):\n",
        "    print(f\"{feature}: {x_explain[i]}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1ziYVuhJAmGW",
        "outputId": "b1b91bde-eeb6-4af2-cf6b-519676a2dfa6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Instance 7, True Value: 26.0, Predicted Value: 27.905\n",
            "cylinders: 4\n",
            "displacement: 97.0\n",
            "horsepower: 75.0\n",
            "weight: 2265\n",
            "acceleration: 18.2\n",
            "model_year: 77\n",
            "origin: 1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Generating Explanations for Multiple Interaction Orders\n",
        "We generate Shapley-based explanations for different interaction orders using the shapiq package. Specifically, we compute:\n",
        "\n",
        "* **Order 1 (Standard Shapley Values):** Individual feature contributions\n",
        "\n",
        "* **Order 2 (Pairwise Interactions):** Combined effects of feature pairs\n",
        "\n",
        "* **Order N (Full Interaction):** All interactions up to the total number of features"
      ],
      "metadata": {
        "id": "n7jcIM8KwX43"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# create explanations for different orders\n",
        "feature_names = list(X.columns)  # get the feature names\n",
        "n_features = len(feature_names)\n",
        "\n",
        "si_order: dict[int, shapiq.InteractionValues] = {}\n",
        "for order in tqdm([1, 2, n_features]):\n",
        "    index = \"k-SII\" if order > 1 else \"SV\"  # will also be set automatically by the explainer\n",
        "    explainer = shapiq.TreeExplainer(model=model, max_order=order, index=index)\n",
        "    si_order[order] = explainer.explain(x=x_explain)\n",
        "si_order"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fALaaRlgAtIh",
        "outputId": "17621543-7cd5-4f17-8f97-18e1cfcae404"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████| 3/3 [00:04<00:00,  1.46s/it]\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{1: InteractionValues(\n",
              "     index=SV, max_order=1, min_order=0, estimated=False, estimation_budget=None,\n",
              "     n_players=7, baseline_value=23.513961661341856\n",
              " ),\n",
              " 2: InteractionValues(\n",
              "     index=k-SII, max_order=2, min_order=0, estimated=False, estimation_budget=None,\n",
              "     n_players=7, baseline_value=23.513961661341856\n",
              " ),\n",
              " 7: InteractionValues(\n",
              "     index=k-SII, max_order=7, min_order=0, estimated=False, estimation_budget=None,\n",
              "     n_players=7, baseline_value=23.513961661341856\n",
              " )}"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Force Chart\n",
        "The force plot is a powerful visualization tool that helps us understand how a machine learning model arrived at a specific prediction. It displays the baseline prediction (i.e., the expected value of the model before seeing any features), and then shows how each feature \"pushes\" the prediction higher or lower.\n",
        "\n",
        "In this plot:\n",
        "\n",
        "* Red bars represent features or interactions that increase the prediction.\n",
        "\n",
        "* Blue bars represent those that decrease it.\n",
        "\n",
        "* The length of each bar corresponds to the magnitude of its effect.\n",
        "\n",
        "When using Shapley interaction values, the force plot can visualize not just individual contributions but also interactions between features. This makes it especially insightful when interpreting complex models, as it visually decomposes how combinations of features work together to influence the outcome.\n"
      ],
      "metadata": {
        "id": "Sb5qMkQawrJR"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sv = si_order[1]  # get the SV\n",
        "si = si_order[2]  # get the 2-SII\n",
        "mi = si_order[n_features]  # get the Moebius transform\n",
        "\n",
        "sv.plot_force(feature_names=feature_names, show=True)\n",
        "si.plot_force(feature_names=feature_names, show=True)\n",
        "mi.plot_force(feature_names=feature_names, show=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "K8R5W1_1BeJB",
        "outputId": "6a8e1ec2-9033-431c-b659-c13470d67866"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x400 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x400 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x400 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "From the first plot, we can see that the base value is 23.5. Features like Weight, Cylinders, Horsepower, and Displacement have a positive influence on the prediction, pushing it above the baseline. On the other hand, Model Year and Acceleration have a negative impact, pulling the prediction downward."
      ],
      "metadata": {
        "id": "BkJRNgPBxHAH"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Waterfall Chart\n",
        "Similar to the force plot, the waterfall plot is another popular way to visualize Shapley values, originally introduced with the shap library. It shows how different features push the prediction higher or lower compared to the baseline. One key advantage of the waterfall plot is that it automatically groups features with very small impacts into an “other” category, making the chart cleaner and easier to understand."
      ],
      "metadata": {
        "id": "fSqPxmpuxbzI"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sv.plot_waterfall(feature_names=feature_names, show=True)\n",
        "si.plot_waterfall(feature_names=feature_names, show=True)\n",
        "mi.plot_waterfall(feature_names=feature_names, show=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "OJwdx5-mBlrt",
        "outputId": "d0178543-12ea-4c49-81dd-5e1a783af480"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x700 with 3 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1568.75x850 with 3 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1681.25x850 with 3 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Network Plot\n",
        "The network plot shows how features interact with each other using first- and second-order Shapley interactions. Node size reflects individual feature impact, while edge width and color show interaction strength and direction. It's especially helpful when dealing with many features, revealing complex interactions that simpler plots might miss"
      ],
      "metadata": {
        "id": "gyAge8ybxpE9"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "si.plot_network(feature_names=feature_names, show=True)\n",
        "mi.plot_network(feature_names=feature_names, show=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "MNim0i3WB2WD",
        "outputId": "a1d207e5-b852-4cdb-bd3e-afb5479b9a2a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 700x700 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 700x700 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## SI Graph Plot\n",
        "The SI graph plot extends the network plot by visualizing all higher-order interactions as hyper-edges connecting multiple features. Node size shows individual feature impact, while edge width, color, and transparency reflect the strength and direction of interactions. It provides a comprehensive view of how features jointly influence the model's prediction."
      ],
      "metadata": {
        "id": "ypqs1Itlx87t"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# we abbreviate the feature names since, they are plotted inside the nodes\n",
        "abbrev_feature_names = shapiq.plot.utils.abbreviate_feature_names(feature_names)\n",
        "sv.plot_si_graph(\n",
        "    feature_names=abbrev_feature_names,\n",
        "    show=True,\n",
        "    size_factor=2.5,\n",
        "    node_size_scaling=1.5,\n",
        "    plot_original_nodes=True,\n",
        ")\n",
        "si.plot_si_graph(\n",
        "    feature_names=abbrev_feature_names,\n",
        "    show=True,\n",
        "    size_factor=2.5,\n",
        "    node_size_scaling=1.5,\n",
        "    plot_original_nodes=True,\n",
        ")\n",
        "mi.plot_si_graph(\n",
        "    feature_names=abbrev_feature_names,\n",
        "    show=True,\n",
        "    size_factor=2.5,\n",
        "    node_size_scaling=1.5,\n",
        "    plot_original_nodes=True,\n",
        ")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "L0cymfoBB76T",
        "outputId": "97e3bf74-ce10-4dad-fffe-0cc90fdca206"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 700x700 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 700x700 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 700x700 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Bar Plot\n",
        "The bar plot is tailored for global explanations. While other plots can be used both locally and globally, the bar plot summarizes the overall importance of features (or feature interactions) by showing the mean absolute Shapley (or interaction) values across all instances. In shapiq, it highlights which feature interactions contribute most on average."
      ],
      "metadata": {
        "id": "XrrX0BHmyVtt"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "explanations = []\n",
        "explainer = shapiq.TreeExplainer(model=model, max_order=2, index=\"k-SII\")\n",
        "for instance_id in tqdm(range(20)):\n",
        "    x_explain = x_test[instance_id]\n",
        "    si = explainer.explain(x=x_explain)\n",
        "    explanations.append(si)"
      ],
      "metadata": {
        "id": "KhXKP3F7CGF1",
        "outputId": "a773b2d2-ee17-4dcc-d332-a769de2c4029",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████| 20/20 [00:13<00:00,  1.52it/s]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "shapiq.plot.bar_plot(explanations, feature_names=feature_names, show=True)"
      ],
      "metadata": {
        "id": "BfktHTHFCMKV",
        "outputId": "aeb58337-5ec1-4c87-ded8-fbceb31c4100",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 624
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1130x700 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "\"Distance\" and \"Horsepower\" are the most influential features overall, meaning they have the strongest individual impact on the model's predictions. This is evident from their high mean absolute Shapley interaction values in the bar plot.\n",
        "\n",
        "Additionally, when looking at second-order interactions (i.e., how two features interact together), the combinations \"Horsepower × Weight\" and \"Distance × Horsepower\" show significant joint influence. Their combined attribution is around 1.4, indicating that these interactions play an important role in shaping the model's predictions beyond what each feature contributes individually. This highlights the presence of non-linear relationships between features in the model."
      ],
      "metadata": {
        "id": "IDtNIFgkybO0"
      }
    }
  ]
}